The artificial intelligence (AI) market seems to be the key to drive growth of digital assets, and non-fungible tokens (NFTs) are expected to benefit from the same. From what it's understood, AI-based NFTs carry potential to ensure long-term development of metaverse and decentralised play-to-earn (P2E) economies. According to Sensorium, a metaverse and Web3.0 developer, AI-based NFTs are implanted with a Generative Pre-Trained Transformer 3 (GPT 3) language model in connection to its smart contract. The platform also stated that this kind of NFTs can provide features such as interactivity, animation, among others. "I believe AI-based NFTs are not only interactive but also create experiences. We can even program these assets by giving commands and can generate different outputs each time. In short, AI can enhance the capabilities of NFTs," Toshendra Sharma, founder and CEO, NFTICALLY, a business-to-business (B2B) software-as-a-service (SaaS), told FE Blockchain.

CharacterGPT is a revolutionary artificial intelligence system that allows users to quickly generate interactive characters with distinct appearances, voices, intelligence, personalities, and identities simply by providing a natural language description. After a character is tokenized, its owner can customize its personality, train its intelligence, trade its generative outputs, and use it across the other dApps on the AI Protocol.

OpenAI, the creator of the language tool ChatGPT and image generator Dall-E, could be facing some new, three-dimensional competition on the blockchain. In an introductory video, the brand says users will be able to type in text to generate responsive characters with "unique personalities, identities, traits, voices, and bodies." Users can mint the NFTs at mycharacter.ai. It remains to be seen whether CharacterGPT will gain the popularity of either ChatGPT or OpenAI's bot-powered Dall-E, which attracts 1.5 million users a day. The CharacterGPT blockchain product looks poised to more directly compete with Dall-E rather than ChatGPT, which generates text responses to typed questions. It has created massive interest through its ability to write convincing articles, cover letters, emails, and messages on dating apps.

Deep learning and machine learning are both important methods for analyzing data and making predictions. Each has its own advantages and disadvantages.

A virtual anime version of Sophia, the world-famous humanoid artificial intelligence (AI) robot, is set to be tokenized and auctioned off as part of an up-and-coming Metaverse project dubbed "Noah's Ark." Sophia was developed by Hong Kong-based firm Hansen Robotics in 2016 and is known across the globe for her conversation skills and articulate speaking ability. In her first 5 years, Sophia has addressed the United Nations and obtained Saudi citizenship. Earlier this month, former Hansen Robotics CEO and Sophia co-creator Jeanne Lim launched a virtual anime version of the robot dubbed "Sophia beingAI" at her new company beingAI under a perpetual license and co-branding partnership. According to the Dec. 7 announcement, beingAI has partnered with intelligent nonfungible token (iNFT) production firm Alethea AI to launch 100 iNFTs featuring Sophia beingAI on Binance's NFT marketplace in an Intelligent IGO (Initial Game Offering) on Dec. 16. The auction will take place over 5 days, with twenty iNFTs being released each day until it concludes on Dec. 21.

Synthetic humans are a thing of the future, and the latest project to come along in pursuit of that is Alethea AI, a startup that can create photorealistic AI-generated avatars from a single photo. The company is unveiling its AI Avatar Studio today. You can see what they did with my photo, with my permission, in the video embedded in this story. They made me sing the I See Fire song from The Hobbit film with Ed Sheeran's voice. The company created the avatar and lip-syncing within minutes.

Alethea AI, a synthetic media company, is piloting “privacy-preserving face skins,” or digital masks that counter facial recognition algorithms and help users preserve privacy on pre-recorded videos.  The move comes as companies such as IBM, Microsoft, and Amazon announced they would suspend the sale of their facial recognition technology to law enforcement agencies.  “This is a new technique we developed inhouse that wraps a face with our AI algorithms,” said Alethea AI CEO Arif Khan. “Avatars are fun to play with and develop, but these ‘masks/skins’ are a different, more potent, animal to preserve privacy.” Related: Why CoinDesk Respects Pseudonymity: A Stand Against Doxxing See also: Human Rights Foundation Funds Bitcoin Privacy Tools Despite ‘Coin Mixing’ Legal Stigma The Los Angeles based startup launched in 2019 with a focus on creating avatars for content creators that the creators could license out for revenue. The idea comes as deepfakes, or manipulated media that can make someone appear as if they are doing or saying anything, becomes more accessible and widespread. According to a 2019 report from Deep Trace, a company which detects and monitors deepfakes, there were over 14,000 deepfakes online in 2019 and over 850 people were targeted by them. Alethea AI wants to let creators use their own synthetic media avatars for marketing purposes, in a sense trying to let people leverage deepfakes of themselves for money.  Khan compares the proliferation of facial recognition data now to the Napster-style explosion in music piracy in the early 2000s. Companies, like Clearview AI, have already harvested large amounts of data from people for facial recognition algorithms, then resold this data to security services without consent, and with all the bias inherent in facial recognition algorithms, which are generally less accurate on women and people of color.  Related: The Zcash Privacy Tech Underlying Ethereum’s Transition to Eth 2.0 Clearview AI, has marketed itself to law enforcement and scraped billions of images from websites like Facebook, Youtube, and Venmo. The company is currently being sued for doing so.   “We will get to a point where there needs to be an iTunes sort of layer, where your face and voice data somehow gets protected,” said Khan.  One part of that is creators licensing out their likeness for a fee. Crypto entrepreneur Alex Masmej was the first such avatar, and for $99 you can hire the avatar to say 200 words of whatever you want, provided the real Masmej approves the text.  We will get to a point where… where your face and voice data somehow gets protected Alethea AI has also partnered with software firm Oasis Labs, so that all content generated for Alethea AI’s synthetic media marketplace will be verified using Oasis Lab’s secure blockchain, akin to Twitter’s “verified” blue check mark.  “There are a lot of Black Mirror scenarios when we think of deepfakes but if my personal approval is needed for my deepfakes and it’s then time-stamped on a public blockchain for anyone to verify the videos that I actually want to release, that provides a protection that deepfakes are currently lacking,” said Masmej.  The privacy pilot takes this idea one step further, not only creating a deep fake license out, but preventing companies or anyone from grabbing your facial data from a recording.  There are two parts to the privacy component. The first, currently being piloted, involves pre-recorded videos. Users upload a video, identify where and what face skin they would like superimposed on their own, and then Alethea AI’s algorithms map the key points on your own face, and wrap the mask around this key point map that is created. The video is then sent back to a client.  See also: Fake News on Steroids: Deepfakes Are Coming – Are World Leaders Prepared? Alethea AI also wants to enable face masking during real time communications, such as over a Zoom call. But Khan says computing power doesn’t quite allow that yet, though it should be possible in a year, he hopes.  Alethea AI piloted one example of the tech with Crypto AI Profit, a blockchain and AI influencer, who used it during a Youtube video.  Deepfakes, voice spoofing, and other tech enabled mimicry seem here to stay, but Khan is still optimistic that we’re not yet at the point of no return when it comes to protecting ourselves.  “I’m hopeful that the individual is accorded some sort of framework in this entire emerging landscape,” said Khan. “It’s going to be a very interesting ride. I don’t think the battle is fully decided, although existing systems are oriented towards preserving larger, more corporate input.” Related Stories JD.com Subsidiary Rolling Out Privacy Tech From Blockchain Firm ARPA From Australia to Norway, Contact Tracing Is Struggling to Meet Expectations